Source Invariance and Probabilistic Transfer: A Testable Theory of Probabilistic Neural Representations
Fuente:
arXiv
Saved in:
| Main Authors: | Lippl, Samuel, Gerraty, Raphael, Morrison, John, Kriegeskorte, Nikolaus |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Topology and Geometry of Neural Representations
by: Lin, Baihan, et al.
Published: (2023)
by: Lin, Baihan, et al.
Published: (2023)
Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment
by: Zhu, Yu, et al.
Published: (2025)
by: Zhu, Yu, et al.
Published: (2025)
Probabilistic Neural Transfer Function Estimation with Bayesian System Identification
by: Wu, Nan, et al.
Published: (2023)
by: Wu, Nan, et al.
Published: (2023)
Transformer brain encoders explain human high-level visual responses
by: Adeli, Hossein, et al.
Published: (2025)
by: Adeli, Hossein, et al.
Published: (2025)
In Silico Mapping of Visual Categorical Selectivity Across the Whole Brain
by: Hwang, Ethan, et al.
Published: (2025)
by: Hwang, Ethan, et al.
Published: (2025)
When does compositional structure yield compositional generalization? A kernel theory
by: Lippl, Samuel, et al.
Published: (2024)
by: Lippl, Samuel, et al.
Published: (2024)
Growing a Neural Network in Breadth, Depth, and Time
by: Butkus, Eivinas, et al.
Published: (2026)
by: Butkus, Eivinas, et al.
Published: (2026)
An Uncertainty Principle for Probabilistic Computation in the Retina
by: Taranath, Jayanth R, et al.
Published: (2025)
by: Taranath, Jayanth R, et al.
Published: (2025)
Generative Adversarial Collaborations: A practical guide for conference organizers and participating scientists
by: Blohm, Gunnar, et al.
Published: (2024)
by: Blohm, Gunnar, et al.
Published: (2024)
Probabilistic modeling reveals coordinated social interaction states and their multisensory bases
by: Stednitz, Sarah Josephine, et al.
Published: (2024)
by: Stednitz, Sarah Josephine, et al.
Published: (2024)
On Questions of Predictability and Control of an Intelligent System Using Probabilistic State-Transitions
by: Taranath, Jayanth R
Published: (2025)
by: Taranath, Jayanth R
Published: (2025)
How to optimize neuroscience data utilization and experiment design for advancing brain models of visual and linguistic cognition?
by: Tuckute, Greta, et al.
Published: (2024)
by: Tuckute, Greta, et al.
Published: (2024)
Benchmarking Probabilistic Time Series Forecasting Models on Neural Activity
by: Lu, Ziyu, et al.
Published: (2025)
by: Lu, Ziyu, et al.
Published: (2025)
Probabilistic Prediction of Neural Dynamics via Autoregressive Flow Matching
by: Rogalla, Nicole, et al.
Published: (2026)
by: Rogalla, Nicole, et al.
Published: (2026)
An Information-Theoretic Framework For Optimizing Experimental Design To Distinguish Probabilistic Neural Codes
by: Kuo, Po-Chen, et al.
Published: (2026)
by: Kuo, Po-Chen, et al.
Published: (2026)
Probabilistic Recurrent Intention Switching Model
by: Sheng, Wenyuan, et al.
Published: (2026)
by: Sheng, Wenyuan, et al.
Published: (2026)
Scale-Invariance Drives Convergence in AI and Brain Representations
by: Yu, Junjie, et al.
Published: (2025)
by: Yu, Junjie, et al.
Published: (2025)
Probabilistic models, compressible interactions, and neural coding
by: Ramirez, Luisa, et al.
Published: (2021)
by: Ramirez, Luisa, et al.
Published: (2021)
Neural Heterogeneity Enables Adaptive Encoding of Time Sequences
by: Lafond-Mercier, Raphaël, et al.
Published: (2025)
by: Lafond-Mercier, Raphaël, et al.
Published: (2025)
A Coupled Neural Field Model for the Standard Consolidation Theory
by: Moyse, Lisa Blum, et al.
Published: (2024)
by: Moyse, Lisa Blum, et al.
Published: (2024)
Probabilistic Geometric Principal Component Analysis with application to neural data
by: Hsieh, Han-Lin, et al.
Published: (2025)
by: Hsieh, Han-Lin, et al.
Published: (2025)
Human face perception reflects inverse-generative and naturalistic discriminative objectives
by: Guo, Wenxuan, et al.
Published: (2026)
by: Guo, Wenxuan, et al.
Published: (2026)
Readout Representation: Redefining Neural Codes by Input Recovery
by: Onoo, Shunsuke, et al.
Published: (2025)
by: Onoo, Shunsuke, et al.
Published: (2025)
Dyadic Neural Dynamics: Extending Representation Learning to Social Neuroscience
by: Glushanina, Maria, et al.
Published: (2025)
by: Glushanina, Maria, et al.
Published: (2025)
Actionable Neural Representations: Grid Cells from Minimal Constraints
by: Dorrell, William, et al.
Published: (2022)
by: Dorrell, William, et al.
Published: (2022)
Multi-dimensional Neural Decoding with Orthogonal Representations for Brain-Computer Interfaces
by: Tian, Kaixi, et al.
Published: (2025)
by: Tian, Kaixi, et al.
Published: (2025)
Reshaping Neural Representation via Associative, Presynaptic Short-Term Plasticity
by: Shimizu, Genki, et al.
Published: (2026)
by: Shimizu, Genki, et al.
Published: (2026)
Integrating Cognitive Load and Embodied Cognition Theories Through Representations as Multi-Scale Attractors
by: Gibson, David C., et al.
Published: (2026)
by: Gibson, David C., et al.
Published: (2026)
Probabilistic adaptation of language comprehension for individual speakers: evidence from neural oscillations
by: Wu, Hanlin, et al.
Published: (2025)
by: Wu, Hanlin, et al.
Published: (2025)
Human-like Object Grouping in Self-supervised Vision Transformers
by: Adeli, Hossein, et al.
Published: (2026)
by: Adeli, Hossein, et al.
Published: (2026)
Anomalous contrast as an adaptive violation of the Talbot-Plateau law
by: Greene, Ernest, et al.
Published: (2025)
by: Greene, Ernest, et al.
Published: (2025)
Beyond Neural Activity Prediction: Probing Latent Representations in Mouse V1 Digital Twins
by: Lima, Adriano, et al.
Published: (2026)
by: Lima, Adriano, et al.
Published: (2026)
Reinforcement Learning as a Robotics-Inspired Framework for Insect Navigation: From Spatial Representations to Neural Implementation
by: Lochner, Stephan, et al.
Published: (2024)
by: Lochner, Stephan, et al.
Published: (2024)
Monkey Perceptogram: Reconstructing Visual Representation and Presumptive Neural Preference from Monkey Multi-electrode Arrays
by: Fei, Teng, et al.
Published: (2025)
by: Fei, Teng, et al.
Published: (2025)
Sequence-to-Sequence Models with Attention Mechanistically Map to the Architecture of Human Memory Search
by: Salvatore, Nikolaus, et al.
Published: (2025)
by: Salvatore, Nikolaus, et al.
Published: (2025)
Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding
by: Nan, Mu, et al.
Published: (2026)
by: Nan, Mu, et al.
Published: (2026)
Mapping Neural Theories of Consciousness onto the Common Model of Cognition
by: Rosenbloom, Paul S., et al.
Published: (2025)
by: Rosenbloom, Paul S., et al.
Published: (2025)
A CRH Theory of Autism Spectrum Disorder
by: Rappoport, Ari
Published: (2024)
by: Rappoport, Ari
Published: (2024)
A Dynorphin Theory of Depression and Bipolar Disorder
by: Rappoport, Ari
Published: (2024)
by: Rappoport, Ari
Published: (2024)
A Sympathetic Nervous System Theory of Migraine
by: Rappoport, Ari
Published: (2024)
by: Rappoport, Ari
Published: (2024)
Similar Items
-
The Topology and Geometry of Neural Representations
by: Lin, Baihan, et al.
Published: (2023) -
Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment
by: Zhu, Yu, et al.
Published: (2025) -
Probabilistic Neural Transfer Function Estimation with Bayesian System Identification
by: Wu, Nan, et al.
Published: (2023) -
Transformer brain encoders explain human high-level visual responses
by: Adeli, Hossein, et al.
Published: (2025) -
In Silico Mapping of Visual Categorical Selectivity Across the Whole Brain
by: Hwang, Ethan, et al.
Published: (2025)